IDENTIFICATION OF STABLE SOURCES OF, AND GENETIC DETERMINANTS CONTROLLING RESISTANCE TO LEAF CURL VIRUS AND ANTHRACNOSE DISEASES THROUGH GENOME WIDE ASSOCIATION MAPPING IN Capsicum Spp
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Date
2022-03-30
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University of Agricultural Sciences GKVK, Bangalore
Abstract
Among biotic stresses, chilli leaf curl virus disease (ChiLCVD) and anthracnose are most devastating diseases in chilli. Genetic resistance is eco-friendly and effective approach to mitigate yield losses. Mapping genomic determinants underlying resistance with identification of co-segregating markers further catalyse pace of trait transfer to desirable susceptible genome. With this background, 188 Capsicum genotypes (association panel) belonging to six species were evaluated for responses to ChiLCV infection during 2019 and 2021 summer, for fruit yield and attributes during 2019, 2020,
2021 Kharif along with responses to anthracnose infection during 2020 and 2021 Kharif
and genotyped using 112 SSR markers. Three consistently ‘highly resistant’ genotypes to
ChiLCVD belonging to C. chinense and four ‘immune’ genotypes for anthracnose
resistance belonging to C. baccatum were identified from the panel. Genotypes belonging
to C. annuum; LCVT#8 and BDL-2, and BDL-3 and ADL-4 were identified as ‘highly resistant’ to ChilCV and anthracnose, respectively. These genotypes can be utilized as donors of genetic resistance for developing ChiLCV and anthracnose resistant chilli cultivars. Two distinct SSR marker-based sub-populations were identified. Number of SSR alleles varied linearly with expected heterozygosity and polymorphic information content. None of the markers were found associated with ChiLCV resistance. However, two and three SSR markers were putatively associated with overall and true lesion sizes,
respectively across six statistical models used in the study, for two years and for pooled data through BLUPs. These SSRs were associated with eliciting response upon pathogen infection in Capsicum genome. Three SSR markers were found putatively associated with genomic regions governing fruit length, nine with fruit width, two with green fruits plant-1, 12 with average green fruit weight, nine with green fruit yield plant-1 and one with red dry fruit yield plant-1. These SSR markers with prior validation could be used in marker assisted selection.